
"""simple docstring"""


from ...processing_utils import ProcessorMixin



class 	__a	(   _lowerCAmelCase						):
       UpperCamelCase_		:       Union[str, Any]				=      ['''image_processor''', '''feature_extractor''']
       UpperCamelCase_		:       int				=      '''TvltImageProcessor'''
       UpperCamelCase_		:       Dict				=      '''TvltFeatureExtractor'''






       def __init__(	self			:				str							,   UpperCAmelCase_			:				List[str]							,   UpperCAmelCase_			:				int      )->	List[Any]:







              """simple docstring"""
              super().__init__(image_processor=UpperCAmelCase_							,   feature_extractor=UpperCAmelCase_      )

              UpperCamelCase       			=		image_processor
              UpperCamelCase       			=		feature_extractor






       def __call__(	self			:				Tuple							,   UpperCAmelCase_			:				Any=None							,   UpperCAmelCase_			:				List[Any]=None							,   UpperCAmelCase_			:				Optional[int]=None							,   UpperCAmelCase_			:				int=None							,   UpperCAmelCase_			:				Optional[int]=False							,   UpperCAmelCase_			:				int=False							,   *UpperCAmelCase_			:				Dict							,   **UpperCAmelCase_			:				List[str]							,   )->	int:







              """simple docstring"""

              if images is None and audio is None:
                     raise ValueError("You need to specify either an `images` or `audio` input to process."      )

              UpperCamelCase       			=		None
              if images is not None:
                     UpperCamelCase       			=		self.image_processor(UpperCAmelCase_							,   mask_pixel=UpperCAmelCase_							,   *UpperCAmelCase_							,   **UpperCAmelCase_      )
              if images_mixed is not None:
                     UpperCamelCase       			=		self.image_processor(UpperCAmelCase_							,   is_mixed=UpperCAmelCase_							,   *UpperCAmelCase_							,   **UpperCAmelCase_      )
              if audio is not None:
                     UpperCamelCase       			=		self.feature_extractor(
                         UpperCAmelCase_							,   *UpperCAmelCase_							,   sampling_rate=UpperCAmelCase_							,   mask_audio=UpperCAmelCase_							,   **UpperCAmelCase_      )

              UpperCamelCase       			=		{}
              if audio is not None:
                     output_dict.update(UpperCAmelCase_      )
              if images is not None:
                     output_dict.update(UpperCAmelCase_      )
              if images_mixed_dict is not None:
                     output_dict.update(UpperCAmelCase_      )
              return output_dict






       @property
       def 						_SCREAMING_SNAKE_CASE							(	self			:				Optional[Any]      )->	Optional[Any]:







              """simple docstring"""
              UpperCamelCase       			=		self.image_processor.model_input_names
              UpperCamelCase       			=		self.feature_extractor.model_input_names
              return list(dict.fromkeys(image_processor_input_names + feature_extractor_input_names      )      )







"""simple docstring"""


import os
import zipfile

import requests
from get_ci_error_statistics import download_artifact, get_artifacts_links



def 						lowerCamelCase__      (				UpperCAmelCase_		,   UpperCAmelCase_=7					)->				Optional[Any]:







       """simple docstring"""
       UpperCamelCase       			=		None
       if token is not None:
              UpperCamelCase       			=		{"Accept": "application/vnd.github+json", "Authorization": F"Bearer {token}"}

       # The id of a workflow (not of a workflow run)
       UpperCamelCase       			=		"636036"

       UpperCamelCase       			=		F"https://api.github.com/repos/huggingface/transformers/actions/workflows/{workflow_id}/runs"
       # On `main` branch + event being `schedule` + not returning PRs + only `num_runs` results
       url += F"?branch=main&event=schedule&exclude_pull_requests=true&per_page={num_runs}"

       UpperCamelCase       			=		requests.get(UpperCAmelCase_		,   headers=UpperCAmelCase_					).json()

       return result["workflow_runs"]



def 						lowerCamelCase__      (				UpperCAmelCase_					)->				Any:







       """simple docstring"""
       UpperCamelCase       			=		get_daily_ci_runs(UpperCAmelCase_					)
       UpperCamelCase       			=		None
       for workflow_run in workflow_runs:
              if workflow_run["status"] == "completed":
                     UpperCamelCase       			=		workflow_run["id"]
                     break

       return workflow_run_id



def 						lowerCamelCase__      (				UpperCAmelCase_		,   UpperCAmelCase_		,   UpperCAmelCase_					)->				int:







       """simple docstring"""
       UpperCamelCase       			=		get_last_daily_ci_runs(UpperCAmelCase_					)
       if workflow_run_id is not None:
              UpperCamelCase       			=		get_artifacts_links(worflow_run_id=UpperCAmelCase_		,   token=UpperCAmelCase_					)
              for artifact_name in artifact_names:
                     if artifact_name in artifacts_links:
                            UpperCamelCase       			=		artifacts_links[artifact_name]
                            download_artifact(
                                artifact_name=UpperCAmelCase_		,   artifact_url=UpperCAmelCase_		,   output_dir=UpperCAmelCase_		,   token=UpperCAmelCase_					)



def 						lowerCamelCase__      (				UpperCAmelCase_		,   UpperCAmelCase_		,   UpperCAmelCase_					)->				Optional[int]:







       """simple docstring"""
       get_last_daily_ci_artifacts(UpperCAmelCase_		,   UpperCAmelCase_		,   UpperCAmelCase_					)

       UpperCamelCase       			=		{}
       for artifact_name in artifact_names:
              UpperCamelCase       			=		os.path.join(UpperCAmelCase_		,   F"{artifact_name}.zip"					)
              if os.path.isfile(UpperCAmelCase_					):
                     UpperCamelCase       			=		{}
                     with zipfile.ZipFile(UpperCAmelCase_					) as z:
                            for filename in z.namelist():
                                   if not os.path.isdir(UpperCAmelCase_					):
                                          # read the file
                                          with z.open(UpperCAmelCase_					) as f:
                                                 UpperCamelCase       			=		f.read().decode("UTF-8"					)

       return results





